{"id":"W4391928349","doi":"10.1007/978-3-031-53389-1_66","title":"Effect of Graphene Oxide on Chloride ION Penetration in Standard Canadian Mixes","year":2024,"lang":"en","type":"book-chapter","venue":"Rilem bookseries","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Centre québécois sur les matériaux fonctionnels","keywords":"Graphene; Oxide; Chloride; Materials science; Penetration (warfare); Ion; Composite material; Inorganic chemistry; Chemical engineering; Chemistry; Nanotechnology; Metallurgy; Mathematics; Engineering; Organic chemistry; Operations research","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000344628,0.0002945175,0.0004121086,0.000524557,0.00002978905,0.00006698712,0.0001188119,0.0002035128,0.0005004311],"category_scores_gemma":[0.00001341676,0.0002810499,0.00009907557,0.00003731913,0.00005163293,0.00006626658,0.00002374155,0.0002385738,0.00008209096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755341,"about_ca_system_score_gemma":0.0001005398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006042593,"about_ca_topic_score_gemma":0.0874352,"domain_scores_codex":[0.9988891,0.00001850386,0.0003139917,0.0002161405,0.000290604,0.0002716173],"domain_scores_gemma":[0.9995283,0.00008667684,0.00003023306,0.0002316984,0.00002766577,0.00009536702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006488265,0.000009711939,0.0004878998,0.024086,0.001612663,0.001121509,0.001452603,0.002927393,0.2222464,0.6962758,0.01108862,0.03220314],"study_design_scores_gemma":[0.0004822518,0.001075839,0.0001681816,0.002291379,0.00008557431,0.000004258123,0.00001596399,0.0001131438,0.7135314,0.005755046,0.2758129,0.0006640673],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4290015,0.001176888,0.000004111557,0.00003418448,0.000884586,0.0006787569,0.0005064441,0.0001493223,0.5675642],"genre_scores_gemma":[0.9486036,0.00127169,0.0000109621,0.000009268199,0.0001503055,0.00005612447,0.0001790824,0.000118927,0.04960005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6905207,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00822344937204228,"score_gpt":0.2247708059434219,"score_spread":0.2165473565713796,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}